Mock sample for your project: Healthcare API

Insurance policies issued by Acko General Insurance (https://www.acko.com) can be fetched by the citizens in their Digilocker accounts.

Life Insurance policies issued by Max Life Insurance on or after April 1st,2008 are available to be pulled in citizen's DigiLocker account.

This REST-API enables you to query for private transport sharing offers provided by companies and cities in Germany, Netherland and Austria.
You can search for informations about the rental stations (points or areas) where you can find the rentals by utilizing the /areas/ ressource.
With the help of the proximity search in the /bookingproposals/ URI you can request the availabilities of the rentalobjects for spontaneous or planed usage in the future.
Feel free to browse through data by setting the parameter 'providernetwork' to the value:
1: Search for car sharing offers provided by the Flinkster platform (http://www.flinkster.de)
2: Finding bike rental offers from Call a Bike (http://www.callabike.de)
You can find more details in the documentation section (Unfortunately only available in german language).
Have lots of fun and we are lucky to take notice of your products or getting your feedback.

This REST-API enables you to query station and stop infos

Driving License (DL) and Vehicle Registration Certificate (RC) of the State, as available on Parivahan Sewa (http://parivahan.co.in/) of Ministry of Road Transport and Highways, are available on DigiLocker. Citizens can pull these documents into their DigiLocker accounts.

This is an API for accessing all sorts of college football data. Please note that API keys should be supplied with "Bearer " prepended (e.g. "Bearer your_key"). API keys can be acquired from the CollegeFootballData.com website.

API for EnteroBase (http://enterobase.warwick.ac.uk)
EnteroBase is a user-friendly online resource, where users can upload their
own sequencing data for de novo assembly by a stream-lined pipeline. The assemblies
are used for calling MLST and wgMLST patterns, allowing users to compare their strains
to publically available genotyping data from other EnteroBase users, GenBank and classical MLST databases.
Click here to find how to get and use an API token: http://bit.ly/1TKlaOU

Enforcement and Compliance History Online (ECHO) is a tool developed and maintained by EPA's Office of Enforcement and Compliance Assurance for public use. ECHO provides integrated compliance and enforcement information for over 1 million regulated facilities nationwide.
Air Rest Services provides multiple service endpoints, each with specific capabilities, to search and retrieve data on facilities regulated under the Clean Air Act (CAA). The returned results reflect data drawn from EPA's ICIS-Air database.
The getfacilities, getmap, getqid, and getdownload end points are meant to be used together, while the enhanced getfacilityinfo end point is self contained.
The getfacilityinfo end point returns either an array of state, county or zip clusters with summary statistics per cluster or an array of facilities.
The recommended use scenario for getfacilities, getqid, getmap, and getdownoad is:
1) Use getfacilities to validate passed query parameters, obtain summary statistics and to obtain a queryid (QID). QIDs are time sensitive and will be valid for approximately 30 minutes.
2) Use get_qid, with the returned QID, to paginate through arrays of facility results.
3) Use get_map, with the returned QID, to zoom in/out and pan on the clustered and individual facility coordinates that meet the QID query criteria.
4) Use get_download, with the returned QID, to generate a Comma Separated Value (CSV) file of facility information that meets the QID query criteria.
Use the qcolumns parameter to customize your search results. Use the Metadata service endpoint for a list of available output objects, their Column Ids, and their definitions to help you build your customized output.
Additional ECHO Resources: Web Services, About ECHO's Data, Data Downloads

Interface specification for the DVLA Vehicle Enquiry API

City Context provides a straightforward API to access UK Open Data: crime statistics, schools, demographics and more.

About CROssBAR & data
CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
CROssBAR is a comprehensive system that integrates large-scale biomedical data from various resources e.g UniProt, ChEMBL, Drugbank, EFO, HPO, InterPro & PubChem and stores them in a new NoSQL database, enrich these data with deep learning based prediction of relations between numerous biomedical entities, rigorously analyse the enriched data to obtain biologically meaningful modules and display them to the user via easy to interpret, interactive and heterogeneous knowledge graphs.
CROssBAR platform exposes a set of 12 endpoints to query data stored in the CROssBAR database. These endpoints help the user to find data of interest using different parameters provided by the API endpoint.
For example,
https://www.ebi.ac.uk/tools/crossbar/proteins?accession=A0A023GRW5 -> will provide protein information about accession 'A0A023GRW5' including its interactions, functions, cross-references, variations and more.
https://www.ebi.ac.uk/tools/crossbar/activities?moleculeChemblId=CHEMBL465983 -> will provide ChEMBL bio-interactions related information including targets and bio-activity measurements associated with molecule chembl id 'CHEMBL465983'
Knowledge graphs
Another use case of CROssBAR's API endpoints is in building knowledge graphs. These endpoints can be weaved together (output from one API endpoint fed as input to another API endpoint) programmatically to link nodes like protein, disease, drugs etc. as nodes of the graph. The endpoints are designed to be independent from each other which allows users the flexibility to drive biological networks from any facet e.g drug-centric, disease-centric, gene-centric etc. Our service for knowledge graph construction is available at https://crossbar.kansil.org.
An example for the part of the background queries on the CROssBAR API during the construction of a knowledge graph,
(with the aim of keeping the example simple, we have only included the processes related to pathways, genes/proteins and drugs/compounds)
In this example, we would like to find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome pathway annotations).
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome annotations)
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Get all proteins from “/proteins” API endpoint which have a reactome pathway name equal to "WNT ligand biogenesis and trafficking".
From the collection of uniprot protein accessions collected from step 1 above, we query “/targets” API endpoint to obtain the ‘targetchemblid’s of these proteins.
From the collection of targetchemblids collected from step 2 above, we query “/activities” API endpoint with pChEMBL value >=6, to obtain the ’moleculechemblid’s of the molecules that we need.
From the collection of uniprot protein accessions collected from step 1 above, we find out Drug names and ids from the “/drugs” API endpoint that targets our proteins.
From the collection of ’moleculechemblid’s obtained in step3, we query “/molecules” endpoint to get the compounds that are interacting with the genes/proteins belonging to the “WNT ligand biogenesis and trafficking” pathway.

Board of High School and Intermediate Education, Rajasthan (http://rajeduboard.rajasthan.gov.in/) has made available Class X (2018-2019)& Class XII (2019) mark sheet available on DigiLocker, which can be pulled by students into their respective accounts